class_docstr: Human solver which uses the CLI. This only makes sense with EVALS_SEQUENTIAL=1
code: def __init__(
      self,
      scratchpad: bool,
      no_prev_ans: int,
      **kwargs,
  ):
      assert (
          int(os.environ.get("EVALS_SEQUENTIAL", "-1")) == 1
      ), f"EVALS_SEQUENTIAL should be 1 for CLI solver but is {os.environ.get('EVALS_SEQUENTIAL', 'not specified')}"
  
      super().__init__(
          model_name="a human",
          sandbag_prompt="None",
          scratchpad=scratchpad,
          no_available_prev_ans=no_prev_ans,
          **kwargs,
      )
  
imports: import os
  from abc import abstractmethod
  from typing import Any, Dict, Sequence
  from evals.completion_fns.openai import OpenAIChatCompletionFn
  from evals.elsuite.sandbagging.defaults import SANDBAGGING_IMPROVED_GPT_4, SANDBAGGING_IMPROVED_GPT_35, SANDBAGGING_SIMPLE, SANDBAGGING_SUBSET_SIMPLE, SCRATCHPAD_MSG, SCRATCHPAD_QUESTION_MSG
  from evals.solvers.solver import Solver, SolverResult
  from evals.task_state import TaskState
label_desc: Use image node_id 1 to create a new CLISolver object from inherited base classes: StrategySolver with example: obj = CLISolver(scratchpad, no_prev_ans)